Situation Awareness Predictive Filter (SAPT).

For US Army CECOM, Wagner conducted a study to reduce communications requirements for SA by using an optimal Kalman Filter to predict target motion and only communicate data when the target position differs sufficiently from the position predicted by the filter. We demonstrated (in testbed scenarios involving multiple Army tanks broadcasting their positions) a 60%-90% reduction in message traffic, with more than 20% improvement in position accuracy.

Corporate Goal

To combine the power of mathematical theory with operational experience to address complex problems encountered in Operational Analysis.